公开(公告)号：US11177656B2

公开(公告)日：2021-11-16

申请号：US16003570

申请日：2018-06-08

申请人： Bing Dong ,  Ahmad Taha ,  Nikolaos Gatsis ,  Zhaoxuan Li ,  Ankur Pipri

发明人： Bing Dong ,  Ahmad Taha ,  Nikolaos Gatsis ,  Zhaoxuan Li ,  Ankur Pipri

IPC分类号： H02J3/00 ,  H02J3/38 ,  G05B19/042 ,  G05B15/02 ,  H02J3/12

摘要： A computing device can generate predictions for future consumptions for one or more buildings based on a variety of factors. The factors can include a local climate corresponding to each building, a mass and heat transfer for each building, a daily operation for each building, and an occupancy behavior for each building. A power flow can be determined for one or more power generators. The power flow can be determined based on the predictions of future consumption. A control input vector can be determined for the one or more buildings.

公开(公告)号：US20180358810A1

公开(公告)日：2018-12-13

申请号：US16003570

申请日：2018-06-08

申请人： Bing Dong ,  Ahmad Taha ,  Nikolaos Gatsis ,  Zhaoxuan Li ,  Ankur Pipri

发明人： Bing Dong ,  Ahmad Taha ,  Nikolaos Gatsis ,  Zhaoxuan Li ,  Ankur Pipri

IPC分类号： H02J3/38 ,  G05B19/042

CPC分类号： H02J3/381 ,  G05B19/0428 ,  G05B2219/2639 ,  H02J2003/003

摘要： A computing device can generate predictions for future consumptions for one or more buildings based on a variety of factors. The factors can include a local climate corresponding to each building, a mass and heat transfer for each building, a daily operation for each building, and an occupancy behavior for each building. A power flow can be determined for one or more power generators. The power flow can be determined based on the predictions of future consumption. A control input vector can be determined for the one or more buildings.

公开(公告)号：US11545830B2

公开(公告)日：2023-01-03

申请号：US15874145

申请日：2018-01-18

申请人： Bing Dong ,  Zhaoxuan Li

发明人： Bing Dong ,  Zhaoxuan Li

IPC分类号： G01W1/11 ,  H02J3/38 ,  H02S40/32 ,  H02M3/156 ,  G06Q50/06 ,  H02J3/00 ,  G01W1/10

摘要： A photovoltaic system can include multiple photovoltaic power inverters that convert sunlight to power. An amount of power for each of the inverters can be measured over a period of time. These measurements, along with other data, can be collected. The collected measurements can be used to generate artificial neural networks that predict the output of each inverter based on input parameters. Using these neural networks, the total solar power generation forecast for the photovoltaic system can be predicted.

公开(公告)号：US20180203160A1

公开(公告)日：2018-07-19

申请号：US15874145

申请日：2018-01-18

申请人： Bing Dong ,  Zhaoxuan Li

发明人： Bing Dong ,  Zhaoxuan Li

IPC分类号： G01W1/10 ,  H02J3/38 ,  H02S40/32 ,  H02M3/156 ,  G06Q50/06

CPC分类号： G01W1/10 ,  G06Q50/06 ,  H02J3/383 ,  H02M3/156 ,  H02S40/32

摘要： A photovoltaic system can include multiple photovoltaic power inverters that convert sunlight to power. An amount of power for each of the inverters can be measured over a period of time. These measurements, along with other data, can be collected. The collected measurements can be used to generate artificial neural networks that predict the output of each inverter based on input parameters. Using these neural networks, the total solar power generation forecast for the photovoltaic system can be predicted.